Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
Based at Harvard University, the Doyle group is comprised of a diverse group of researchers, coming from backgrounds such as computer science, biology, and chemical engineering. Contact us to inquire about open positions.
Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder
Kelsey R. Dean, Rasha Hammamieh, Synthia H. Mellon, Duna Abu-Amara, Janine D. Flory, Guia Guffanti, Kai Wang, Bernie J. Daigle Jr., Aarti Gaurtam, Inyoul Lee, Ruoting Yang, Lynn M. Almli, F. Saverio Bersani, Nabarun Chakraborty, Duncan Donohue, Kimberly Kerly, Taek-Kyun Kim, Eugene Laska, Min Young Lee, Daniel Lindqvist, Adriana Lori, Liangqun Lu, Burook Misganaw, Seif […]
Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control
Lukas Ortman, Dawei Shi, Eyal Dassau, Francis J. Doyle III, Berno J. E. Misgeld, and Steffen Leonhardt (2019). American Control Conference (ACC).
Iterative Learning Control with Sparse Measurements for Long-Acting Insulin Injections in People with Type 1 Diabetes
Marzia Cescon, Sunil Deshpande, Francis J. Doyle III, and Eyal Dassau (2019). American Control Conference (ACC).
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